A how-to-model guide for neuroscience

Gunnar Blohm, Konrad P. Kording, Paul R. Schrater

Research output: Contribution to journalArticle

Abstract

Within neuroscience, models have many roles, including driving hypotheses, making assumptions explicit, synthesizing knowledge, making experimental predictions, and facilitating applications to medicine. While specific modeling techniques are often taught, the process of constructing models for a given phenomenon or question is generally left opaque. Here, informed by guiding many students through modeling exercises at our summer school in CoSMo (Computational Sensory-Motor Neuroscience), we provide a practical 10-step breakdown of the modeling process. This approach makes choices and criteria more explicit and replicable. Experiment design has long been taught in neuroscience; the modeling process should receive the same attention.

Original languageEnglish (US)
Article numberENEURO.0352-19.2019
JournaleNeuro
Volume7
Issue number1
DOIs
StatePublished - Jan 1 2020

PubMed: MeSH publication types

  • Journal Article

Fingerprint Dive into the research topics of 'A how-to-model guide for neuroscience'. Together they form a unique fingerprint.

  • Cite this